Eurostar e320 trainsets
E735962
Eurostar e320 trainsets are high-speed electric multiple units built by Siemens for Eurostar’s cross-Channel services, offering faster, higher-capacity, and more modern trains on routes such as London–Paris.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Eurostar e320 | 5 |
| Eurostar e320 (Siemens Velaro) trainsets | 1 |
| Eurostar e320 trainsets canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8456956 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Eurostar e320 trainsets Context triple: [London–Paris, usesRollingStock, Eurostar e320 trainsets]
-
A.
Eurostar-3000 derivative
The Eurostar-3000 derivative is a modified version of the Eurostar-3000 satellite platform adapted for deep-space missions such as the Mars Express orbiter.
-
B.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
-
C.
TGV trainsets
TGV trainsets are high-speed electric multiple-unit trains used primarily by France’s SNCF for long-distance passenger services across France and neighboring countries.
-
D.
X'Trapolis EMU
The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
-
E.
TGV Atlantique trainset
The TGV Atlantique trainset is a high-speed French electric multiple unit introduced by SNCF in the late 1980s for services from Paris toward western and southwestern France, once holding the world speed record for rail trains.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Eurostar e320 trainsets Target entity description: Eurostar e320 trainsets are high-speed electric multiple units built by Siemens for Eurostar’s cross-Channel services, offering faster, higher-capacity, and more modern trains on routes such as London–Paris.
-
A.
Eurostar-3000 derivative
The Eurostar-3000 derivative is a modified version of the Eurostar-3000 satellite platform adapted for deep-space missions such as the Mars Express orbiter.
-
B.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
-
C.
TGV trainsets
TGV trainsets are high-speed electric multiple-unit trains used primarily by France’s SNCF for long-distance passenger services across France and neighboring countries.
-
D.
X'Trapolis EMU
The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
-
E.
TGV Atlantique trainset
The TGV Atlantique trainset is a high-speed French electric multiple unit introduced by SNCF in the late 1980s for services from Paris toward western and southwestern France, once holding the world speed record for rail trains.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
high-speed electric multiple unit
ⓘ
passenger train ⓘ |
| alsoKnownAs |
Class 374
NERFINISHED
ⓘ
Siemens Velaro e320 NERFINISHED ⓘ |
| builtFor | cross-Channel high-speed services ⓘ |
| capacity | higher capacity than original Eurostar Class 373 ⓘ |
| compatibleWith | Channel Tunnel safety requirements ⓘ |
| countryOfOperation |
Belgium
NERFINISHED
ⓘ
France NERFINISHED ⓘ Netherlands NERFINISHED ⓘ United Kingdom ⓘ |
| designedBy | Siemens Mobility NERFINISHED ⓘ |
| designedFor |
Channel Tunnel services
ⓘ
London–Amsterdam route NERFINISHED ⓘ London–Brussels route ⓘ London–Paris route NERFINISHED ⓘ |
| electricSystem |
1.5 kV DC overhead
ⓘ
15 kV AC overhead ⓘ 25 kV AC overhead ⓘ 3 kV DC overhead ⓘ |
| enteredServiceOnRoute |
London–Amsterdam
NERFINISHED
ⓘ
London–Brussels NERFINISHED ⓘ London–Paris NERFINISHED ⓘ |
| family | Velaro NERFINISHED ⓘ |
| feature |
enhanced luggage space
ⓘ
modern passenger interiors ⓘ multi-system capability for different national electrification systems ⓘ on-board Wi-Fi ⓘ power sockets at seats ⓘ |
| formation | distributed traction EMU ⓘ |
| gauge | standard gauge ⓘ |
| introduced | 2015 ⓘ |
| manufacturer | Siemens NERFINISHED ⓘ |
| meetsStandard | European high-speed interoperability standards ⓘ |
| operator | Eurostar NERFINISHED ⓘ |
| orderPlacedBy | Eurostar International Limited NERFINISHED ⓘ |
| partOfSeries | Siemens Velaro family NERFINISHED ⓘ |
| purpose | fleet expansion and replacement of older stock ⓘ |
| registrationCountry | United Kingdom NERFINISHED ⓘ |
| safetySystem |
AWS
NERFINISHED
ⓘ
ETCS NERFINISHED ⓘ KVB NERFINISHED ⓘ TBL NERFINISHED ⓘ TPWS NERFINISHED ⓘ TVM-430 NERFINISHED ⓘ |
| topSpeed | 320 km/h ⓘ |
| tractionType | electric ⓘ |
| trainLength | 16-car set ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Eurostar e320 trainsets Description of subject: Eurostar e320 trainsets are high-speed electric multiple units built by Siemens for Eurostar’s cross-Channel services, offering faster, higher-capacity, and more modern trains on routes such as London–Paris.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.